
This study investigates urban foraging behaviors in Nanjing, China, through analysis of user-generated content (UGC) from Xiaohongshu and biodiversity data from iNaturalist. Focusing on forager demographics, spatial patterns of foraging sites, and harvested species characteristics, the research reveals three key findings: (1) Female users dominated foraging-related UGC (71.8%), primarily sharing non-commercial experiences; (2) 58.5% of foraging occurred in urban park green spaces, with the most frequented sites overlapping national ecological protection zones; (3) 80 identified species (79.8% vascular plants) showed minimal conservation risks, though 2 invasive species were documented. The analysis highlights conflicts between informal foraging practices and formal ecological protection frameworks, exacerbated by ambiguous legal definitions. The study proposes integrating designated foraging zones into urban green space planning and establishing adaptive management strategies to balance ecological protection with public engagement. These findings provide empirical evidence for optimizing urban biodiversity governance in high-density cities.
Autor / Author: | Wang, Nan; Shi, Jiaying; He, Ran |
Institution / Institution: | Southeast University, Nanjing/China; Southeast University, Nanjing/China; Pukou District Forestry Station, Nanjing/China |
Seitenzahl / Pages: | 10 |
Sprache / Language: | Englisch |
Veröffentlichung / Publication: | JoDLA – Journal of Digital Landscape Architecture, 10-2025 |
Tagung / Conference: | Digital Landscape Architecture 2025 – Collaboration |
Veranstaltungsort, -datum / Venue, Date: | Dessau Campus of Anhalt University, Germany 04-06-25 - 07-06-25 |
Schlüsselwörter (de): | |
Keywords (en): | Urban foraging, user-generated content, data crawler, biodiversity |
Paper review type: | Full Paper Review |
DOI: | doi:10.14627/537754022 |
Diese Website nutzt Cookies, um ihre Dienste anbieten zu können und Zugriffe zu analysieren. Dabei ist uns der Datenschutz sehr wichtig.
Legen Sie hier Ihre Cookie-Einstellungen fest. Sie können Sie jederzeit auf der Seite Cookie-Informationen ändern.